Description:

Axon is seeking a highly skilled and innovative Computer Vision and Machine Learning Scientist to join their AI team, focusing on AI applications in Cloud, Devices, and Robotics.
The role involves advancing the state-of-the-art in Multimodal Large Language Models (MLLMs) and Computer Vision technologies.
Responsibilities include researching and developing advanced MLLMs, GenAI, and Computer Vision techniques from multimodal data sources.
The candidate will design and implement efficient and scalable MLLM models for inference and analysis of visual data.
The position requires exploring novel approaches to address challenges in object detection, recognition, tracking, segmentation, and scene understanding.
The scientist will optimize algorithms for performance, memory footprint, and energy efficiency for resource-constrained devices.
Collaboration with MLEs, firmware, or hardware engineers is essential to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
Evaluating the performance of MLLM models using real-world datasets and designing experiments to validate their effectiveness is a key responsibility.
Staying updated with the latest research trends in computer vision, machine learning, and deep learning is necessary.
Contributions to patent disclosures, academic publications, and technical documentation are expected.
The role includes coaching and mentoring junior scientists.

Requirements:

A PhD with over 5 years of experience in Computer Science or a related field, focusing on MLLMs, computer vision, machine learning, or artificial intelligence is required.
A proven track record of research excellence in machine learning and computer vision, demonstrated through publications in top-tier conferences or journals, is essential.
Strong proficiency in programming languages such as Python and C/C++, along with experience in deep learning frameworks like TensorFlow, PyTorch, or Keras, is necessary.
Experience with ROS or robotic operational systems is required.
The candidate should have experience in driving one or more phases of the ML development lifecycle, including shaping datasets and implementing end-to-end training pipelines.
The ability to leverage state-of-the-art research to deliver high-quality models for multiple AI projects at scale is important.
Contributions to the research community via academic publications, tech blogs, and open-source code are expected.
Experience in developing computer vision algorithms for resource-constrained devices is highly desirable.
Excellent problem-solving skills, analytical thinking, and the ability to work independently and collaboratively are required.
Strong communication skills to effectively present complex technical concepts to both technical and non-technical audiences are necessary.

The position offers a competitive salary and a 401k plan with employer match.
Employees receive discretionary paid time off and paid parental leave for all.
Medical, dental, and vision plans are provided.
Fitness programs and emotional & mental wellness support are available.
Learning and development programs are offered to support employee growth.
Snacks are provided in the offices.
The starting base pay for this role ranges from USD 180,000 to USD 290,000, depending on various factors such as level, function, and geographic market.